The graph represents a network of 716 Twitter users whose recent tweets contained "#fashionTech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 29 March 2023 at 17:49 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 16-minute period from Monday, 20 March 2023 at 14:28 UTC to Wednesday, 29 March 2023 at 17:44 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Vertices : 716
Unique Edges : 2900
Edges With Duplicates : 4532
Total Edges : 7432
Self-Loops : 264
Reciprocated Vertex Pair Ratio : 0.0632538193513803
Reciprocated Edge Ratio : 0.118981598185026
Connected Components : 101
Single-Vertex Connected Components : 55
Maximum Vertices in a Connected Component : 501
Maximum Edges in a Connected Component : 7090
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.276766
Graph Density : 0.00774895495565887
Modularity : 0.317093
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 716 Twitter users whose recent tweets contained "#fashionTech", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 29 March 2023 at 17:49 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 16-minute period from Monday, 20 March 2023 at 14:28 UTC to Wednesday, 29 March 2023 at 17:44 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #fashionTech
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Alpha : Retweet Count
Vertex Radius : Betweenness Centrality
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